Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

Online Program Home
My Program

All Times EDT

Legend:
* = applied session ! = JSM meeting theme

Activity Details

8 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Learning for High-Dimensional and Heterogeneous Complex Data — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Journal on Statistical Analysis and Data Mining, Section on Statistical Computing
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Omid Shams Solari, UC Berkeley
10:05 AM	Heterogeneous Mediation Analysis for Causal Inference Fei Xue, University of Pennsylvania; Xiwei Tang, University of Virgina; Annie Qu, University of Illinois at Urbana-Champaign
10:25 AM	L-zero regularization in the causal mediation analysis Peter X.K. Song, University of Michigan; Wen Wang, University of Michigan
10:45 AM	Large matrix estimation for time series data Hai Shu, New York University; Bin Nan, University of California, Irvine
11:05 AM	High-dimensional factor regression for heterogeneous subpopulations Peiyao Wang, University of North Carolina at Chapel Hill; Quefeng Li, UNC Chapel Hill; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:25 AM	Correlation Tensor Decomposition and Its Application in Spatial Imaging Data Yujia Deng, University of Illinois, Urbana-Champaign; Xiwei Tang, University of Virgina; Annie Qu, University of California Irvine
11:45 AM	Floor Discussion

12 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Frontiers of Statistical Computing in Modern Science — Invited Papers
Section on Statistical Computing
Organizer(s): Martin Lysy, University of Waterloo
Chair(s): Martin Lysy, University of Waterloo
10:05 AM	Sampling and Ranking Protein Structures with Application to Antibody-Antigen Prediction Samuel W.K. Wong, University of Waterloo
10:35 AM	Data Science on Blockchains Cuneyt Gurcan Akcora, University of Manitoba
11:05 AM	Applying statistical methods to climate reconstructions: Late 19th-century navigational errors and their influence on sea surface temperatures Duo Chan, Harvard University; Chenguang Dai, Harvard University; Peter Huybers, Harvard University; Natesh Pillai, Harvard university
11:35 AM	Floor Discussion

67	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Section on Statistical Computing: Data Science — Contributed Papers
Section on Statistical Computing, Text Analysis Interest Group
Chair(s): Samuel W.K. Wong, University of Waterloo
	Evaluation Error Requirements for Generating Random Variates Using Dominated Rejection Algorithms Presentation Timothy Hall, PQI Consulting
	The Modified Directed Likelihood in High-Dimensions Presentation Yanbo Tang, University of Toronto; Nancy Reid, University of Toronto
	Defining Areas of Interest for Eye-Tracking Data: Implementing a Systematic Approach Presentation Joanna Coltrin, Utah State University; Eric McKinney, Utah State University; Breanna Studenka, Utah State University; Juergen Symanzik, Utah State University
	Tests of Equality of Equality of Several High-Dimensional Contingency Tables Silvia Sharna, Bowling Green State University; Mian Adnan, Bowling Green State University; Asif Shams Adnan, Dhaka, Bangladesh; Rahmatullah Imon, Ball State University
	Clinical Trials Data Sharing: Streamlined Process for Deidentification Amaanti Sridhar, RTI International; Marie Gantz, RTI International
	Positive Orthant Hyperspherical Distribution and Applications Jose Guardiola, Texas A&M University-Corpus Christi
	A Comparative History of Programing in Statistics and Data Science Ben Barnard, Wells Fargo; Gabriel Odom, Florida International University
	A Simple and Scalable Algorithm for Anomaly Identification with an Application in Credit Card Fraud Detection Cheng Peng, West Chester University of Pennsylvania

74	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Text Analysis in Machine Learning and Statistical Models — Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group, Section on Statistical Computing
Chair(s): Daniel Ries, Sandia National Laboratories
	Finding the Source of Grandma’s Chili: Investigative Text Mining Scott Wise, SAS Institute, Inc.
	Zero-Inflated Beta Distribution Applied to Word Frequency and Lexical Dispersion in Corpus Linguistics Brent Burch, Northern Arizona University; Jesse Egbert, Northern Arizona University
	Dynamically Evolving Transformer Models for Article Tagging for Biosurveillance Karl Pazdernik, Pacific Northwest National Laboratory; Samuel Dixon, Pacific Northwest National Laboratory; Daniel Farber, Pacific Northwest National Laboratory; Aaron Tuor, Pacific Northwest National Laboratory; Andrew Barker, Pacific Northwest National Laboratory; Elise Saxon, Pacific Northwest National Laboratory; Lauren Charles, Pacific Northwest National Laboratory
	Naive Dictionary on Musical Corpora: From Knowledge Representation to Pattern Recognition Qiuyi Wu, University of Rochester; Ernest Fokoue, Rochester Institute of Technology and SAMSI
	Uncovering Biases in Off-The-Shelf Natural Language Processing Tools Elizabeth Cary, Pacific Northwest National Laboratory; Lee Burke, Pacific Northwest National Laboratory; Madelyn Dunning, Pacific Northwest National Laboratory; Jill Brandenberger, Pacific Northwest National Laboratory; Michael Henry, Pacific Northwest National Laboratory; Karl Pazdernik, Pacific Northwest National Laboratory
	Detecting Pharmaceutical Innovations in Text-Based Data Using Machine Learning Devika Mahoney-Nair, University of Virginia; Gizem Korkmaz, University of Virginia; Gary Anderson, National Science Foundation; Neil Alexander, University of Virginia; Aaron Schroeder, University of Virginia; Sallie Ann Keller, Distinguished Professor in Biocomplexity, U of Virginia

93	Mon, 8/3/2020, 12:00 PM - 1:00 PM	Virtual
Section on Statistical Computing P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Section on Statistical Computing
ML09:	Building-Out the Bayesian Regression Tree Ecosystem Matthew Pratola, The Ohio State University

118 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in the Design and Analysis of Platform Trials — Topic Contributed Papers
Section on Statistical Graphics, Biopharmaceutical Section, Section on Statistical Computing
Organizer(s): Bo Huang, Pfizer Inc.
Chair(s): Enayet Talukder, Pfizer Inc.
1:05 PM	Basket Design Vs Umbrella Design for Exploratory Trials Cong Chen, Merck and Company, Inc.
1:25 PM	Finding a Balance of Synergy and Flexibility in Master Protocols Melanie Quintana, Berry Consultants
1:45 PM	RoBoT: A Robust Bayesian Hypothesis Testing Method for Basket Trials Yuan Ji, University of Chicago; Tianjian Zhou, University of Chicago
2:05 PM	Implementation of a Platform Trial in Early Development Dmitri Pavlov, Pfizer
2:25 PM	Discussant: Erik Bloomquist, FDA
2:45 PM	Floor Discussion

119 *	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Learning Applications for Autonomous Systems in Defense and National Security — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
Chair(s): Justin T Newcomer, Sandia National Laboratories
1:05 PM	Tallis: A Statistical Approach for Dimension Reduction of Mixed-Type Variables Alexander Foss, Sandia National Laboratories
1:25 PM	Challenges in Test and Evaluation of AI-Enabled Systems in the DoD Jane Pinelis, DoD Joint Artificial Intelligence Center
1:45 PM	Multinomial Pattern Matching John Richards, Sandia National Laboratories
2:05 PM	Leveraging Machine Learning for Autonomy Testing and Evaluation Galen Mullins, Johns Hopkins University Applied Physics Laboratory
2:25 PM	Demystifying the Black Box: A Strategy for Testing AI-Enabled Systems Heather Wojton, Institute for Defense Analyses; Daniel Porter, Institute for Defense Analyses
2:45 PM	Floor Discussion

129 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Graph Inference and Network Analysis — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistics in Defense and National Security, Caucus for Women in Statistics, Section on Statistical Computing
Organizer(s): Joshua Cape, University of Michigan
Chair(s): Joshua Cape, University of Michigan
1:05 PM	Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace Jesus Arroyo; Avanti Athreya, Johns Hopkins University; Joshua Cape, University of Michigan; Guodong Chen, Johns Hopkins University; Carey Priebe, Johns Hopkins University; Joshua Vogelstein, Johns Hopkins University
1:25 PM	Network Community Detection Using Higher Order Interactions Xianshi Yu; Ji Zhu, University of Michigan
1:45 PM	Online Change Point Detection in Network Sequences Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
2:05 PM	Estimation and Inference in Latent Structure Random Graphs Avanti Athreya, Johns Hopkins University; Minh Tang, NC State University; Youngser Park, Johns Hopkins University; Carey Priebe, Johns Hopkins University
2:25 PM	Posterior Predictive Distributions in Network Inference Anna Smith, University of Kentucky; Tian Zheng, Columbia University
2:45 PM	Floor Discussion

220201	Mon, 8/3/2020, 6:30 PM - 8:00 PM	Virtual
Sections on Statistical Computing and Statistical Graphics Virtual Mixer — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): John Castelloe, SAS
We'll share news from the world of statistical computing & graphics and look forward to hearing your comments and questions. All JSM attendees are welcome to join us on Zoom: https://us02web.zoom.us/j/81072427895

137 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
On Structural Changes — Invited Papers
Business and Economic Statistics Section, Section on Statistical Computing, Royal Statistical Society
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Jan Beran, University of Konstanz
10:05 AM	Change Point Detection of Growth Inflection to Confluence David S. Matteson, Cornell University
10:25 AM	Asymptotic Theory for Time Series with Changing Mean and Variance Liudas Giraitis, Queen Mary University of London; Violetta Dalla, National and Kapodistrian University of Athens; Peter M Robinson, London School of Economics
10:45 AM	Testing for Multiple Structural Breaks in Multivariate Long Memory Time Series Philipp Sibbertsen, Leibniz Universitaet Hannover; Kai Wenger, Leibniz University of Hannover; Simon Wingert, Leibniz University of Hannover
11:05 AM	On the Crossing of a Threshold Under Gaussian Subordination for Spatial Data Sucharita Ghosh, Swiss Federal Research Institute WSL
11:25 AM	Floor Discussion

145 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Statistics of Social Media — Invited Papers
Section on Statistical Computing, Social Statistics Section, Text Analysis Interest Group
Organizer(s): Juha Alho, University of Helsinki
Chair(s): Stanislav Kolenikov, Abt Associates
10:55 AM	What Authors Reveal of Themselves in Internet Discussions? Presentation Juha Alho, University of Helsinki
11:20 AM	Discussant: Frauke Kreuter, University of Maryland, University of Mannheim & IAB
11:40 AM	Floor Discussion

201	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Big Data and Statistical Learning — Contributed Papers
Section on Statistical Computing
Chair(s): Wenshuo Wang, Harvard University
	Statistical Inference of Massive Linear Mixed Models with Bag of Little Bootstraps (BLB) Xinkai Zhou, UCLA; Hua Zhou, University of California, Los Angeles
	Improved Two-Stage Model-Averaging for High-Dimensional Linear Regression Juming Pan, Rowan University
	Optimal Perturbation Bounds for Orthogonally Decomposable Tensors and Its Statistical Applications Arnab Auddy, Columbia University; Ming Yuan, Columbia University
	Backfitting for Large Scale Crossed Random Effects Regressions Swarnadip Ghosh, Stanford University; Art Owen, Stanford University; Trevor Hastie, Stanford University, Department of Statistics

202	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Monte Carlo Methods and Simulation I — Contributed Papers
Section on Statistical Computing
Chair(s): Matthias Schonlau, University of Waterloo
	Applications of Resampling-based Simultaneous Confidence Interval Method to Over-dispersed Binomial Responses Bo Li, The Citadel
	Stratification and Optimal Resampling for Sequential Monte Carlo Presentation Wenshuo Wang, Harvard University; Yichao Li, Tsinghua University; Ke Deng, Tsinghua University; Jun S. Liu, Harvard University
	Evaluating Performance of Two-Sample Parametric and Analogous Nonparametric Tests: A Monte Carlo Simulation Approach Tanweer Shapla, Eastern Michigan University; Khairul Islam, Eastern Michigan University
	Polynomial Transformation of Laplace Distribution Mohan Dev Pant, Eastern Virginia Medical School; Ismail El Moudden, Eastern Virginia Medical School; Jiangtao Luo, EVMS-Sentara Healthcare Analytics and Delivery Science Institute (HADSI) , Eastern Virginia Medical
	Hamiltonian Assisted Metropolis Sampling Zexi Song, Rutgers The State Univ of NJ; Zhiqiang Tan, Rutgers University
	Sampling and Optimization Analysis for SGD and LMC Riddhiman Bhattacharya, University of Minnesota
	Longitudinal Treatment Effect and Non-Ignorable Missing Values of a Binary Response Nikhil S Padhye, University of Texas Health Science Center at Houston; Diane Santa Maria, University of Texas Health Science Center at Houston

217	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Statistical Computing & Statistics in Sports — Contributed Poster Presentations
Section on Statistical Computing, Section on Statistics in Sports
1:	Data Expo 2020: Temperature Effect on the United States’ Agriculture Phuong Ho
2:	Modeling Time-Varying Rankings: An Application to the Ice Hockey World Championships Vladimír Holý, University of Economics, Prague
3:	An Analysis of Climate Change Impact on Public Opinion Lydia Carter; Thomas J Fisher, Miami University
4:	MLB Offensive Performance with Bayesian Nonparametric Models David Teuscher
5:	Dcortools – Providing Fast and Flexible Distance Correlation Functions for Statistical Applications Dominic Edelmann, German Cancer Research Center; Jochen Fiedler, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
7:	The Ewing Theory and Injuries Grant Beanblossom
9:	Testing Spatial Distributions of Event/Shot Locations Michael Schuckers, St. Lawrence University; Jacquelyn Garso, St. Lawrence University
10:	First-Move Advantage in Amateur Online Chess Tyler Cook, University of Central Oklahoma
11:	MAYFIELD: Machine Learning Algorithm for Yearly Forecasting Indicators and Estimation of Long-Run Player Development Alexander Williams, The Ohio State University; Benjamin Clarke, The Ohio State University; Sethward Brugler, The Ohio State University
12:	Practical Approaches to Accelerating Exact Conditional Inference in Discrete Exponential Families Grant Innerst, Shippensburg University
13:	Estimation of Ordinal Mixed Models by the Template Model Builder (TMB) Package in R Manja Grønberg, Technical University of Denmark; Line Katrine Harder Clemmensen, Technical University of Denmark; Sofie Pødenphant Jensen, Technical University of Denmark
14:	Binary Quantile Regression for Vector Responses Koki Matsuoka, Doshisha University; Jun Tsuchida, Tokyo University of Science; Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
15:	Adaptive Cost-Sensitive Logit Boost for Optimizing Performance Metrics Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
16:	A Novel Genetic Algorithm for Modeling Opinion Diffusion Over a Social Network Kara Johnson, Montana State University; Nicole Carnegie, Montana State University; Ralph Barnes, Montana State University
17:	Pliable Lasso for Grouped Predictors Joochul Lee

242 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Deep Learning Methods in Biomedical Studies — Invited Papers
WNAR, Section on Statistical Computing, Section on Statistical Learning and Data Science
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:05 PM	Multi-Stage Sequential Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods Youyi Fong, Fred Hutchinson Cancer Research Center; Jun Xu, None
1:30 PM	A Computationally-Favorable Reframing of Proportional-Hazards Modeling for Large Time-to-Event Data Sets with Applications to Deep Learning Noah Simon, University of Washington
1:55 PM	Deep Learning Methods for Single Cell Data Denoising and Multimodal Imputation Nancy Zhang, The University of Pennsylvania
2:20 PM	Discussant: Wei Sun, Fred Hutchinson Cancer Research Center
2:40 PM	Floor Discussion

243 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Thinking Beyond the P-Value: Advancing Bayesian Education for the Undergraduates — Invited Papers
Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Jingchen (Monika) Hu, Vassar College
Chair(s): Jingchen (Monika) Hu, Vassar College
1:05 PM	Quiz: Are You a Bayesian? Alicia A Johnson, Macalester College
1:25 PM	Bayes for Undergraduates: A Prior Is Modified Presentation Jeffrey A Witmer, Oberlin College
1:45 PM	Challenges of Teaching Bayesian Statistics to Undergraduates Brian Reich, North Carolina State University
2:05 PM	Computation Infrastructure for Teaching Bayesian Modeling Colin Witter Rundel, University of Edinburgh
2:25 PM	A Probability Plus Bayes Course Jim H Albert, Bowling Green State University
2:45 PM	Floor Discussion

246 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Withdrawn - Environmental Statistics in a Corporate World — Invited Papers
Section on Statistical Computing, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Matthew J. Heaton, Brigham Young University
2:45 PM	Floor Discussion

256 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Contemporary Mixed Model Methodology and Applications — Invited Papers
Biometrics Section, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Maryclare Griffin, University of Massachusetts Amherst
Chair(s): Bright Boasiako, University of Massachusetts Amherst
1:05 PM	Information Sharing for Shorter Confidence Intervals, Shorter Prediction Intervals, and Smaller P-Values Peter Hoff, Duke University
1:25 PM	Detecting Genetic Interactions with the Marginal Epistasis Test Lorin Crawford, Brown University; Xiang Zhou, University of Michigan
1:45 PM	Consistent Maximum Likelihood Estimation In Mixed Models Using Subsets Karl Oskar Ekvall, Karolinska Institute; Galin Jones, University of Minnesota
2:05 PM	Better Together: Improved Estimation of Subject-Level Functional Connectivity with Empirical Bayes Shrinkage Mary Beth Nebel, Johns Hopkins University; Amanda Mejia, Indiana University; Brian Caffo, Johns Hopkins University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
2:25 PM	Model Testing for Generalized Scalar-On-Function Linear Models Ana Maria Staicu, North Carolina State University; Luo Xiao, North Carolina State University
2:45 PM	Floor Discussion

268 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Extreme Machine Learning Methods and Applications: Domestic and International — Topic Contributed Papers
Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Kelly Toppin, IMT Corporation
Chair(s): Lu Chen, National Institute of Statistical Sciences
1:05 PM	Hierarchical Gaussian Processes for Outlier Detection Felix Jimenez, National Institute of Standards and Technology
1:25 PM	Empirical data-fusion approaches to generate model covariates Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, NASS; Claire Boryan, USDA; Lu Chen, USDA; Kevin Hunt, USDA; CLIFFORD H SPIEGELMAN, Texas A&M University; Linda J Young, NASS
1:45 PM	Early Season Planted Acreage Estimates Using Machine Learning Jake Abernethy, NASS; Claire Boryan, USDA; Kevin Hunt, USDA; Luca Sartore, National Institute of Statistical Sciences
2:05 PM	Classifying Evolving Data Streams Kelly Toppin, IMT Corporation; Luca Sartore, National Institute of Statistical Sciences
2:25 PM	Floor Discussion

274 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Analysis of Large Time Series of Remotely Sensed Environmental Measurements: Tales of the Collision Between Statistics, Remote Sensing and Geo-Computation — Topic Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing, ASA Advisory Committee on Climate Change Policy
Organizer(s): David S. Matteson, Cornell University
Chair(s): Joseph Guinness, Cornell University
1:05 PM	Multi-Temporal Abrupt Change Estimation on Landsat Time Series Imagery: Determining Burned Areas in La Primavera, Mexico Inder Tecuapetla, CONABIO; Gabriela Villamil-Cortez, National Commission for the Knowledge and Use of Biodiversity; María Isabel Cruz-López, National Commission for the Knowledge and Use of Biodiversity
1:25 PM	A Computationally Efficient Method for Fitting Big Data Spatio-Temporal Log-Gaussian Cox Processes Megan Gelsinger
1:45 PM	Embedding Spatial Variability in Rainfall Field Reconstruction Luis Rosales Marticorena, ESAN University
2:05 PM	Using Earth Observation Time Series to Analyze Vegetation Biophysical Parameters Gerardo Lopez Saldana, Assimila Ltd
2:25 PM	On the Spatial and Temporal Shift in the Archetypal Seasonal Temperature Cycle as Driven by Annual and Semi-Annual Harmonics Joshua North, University of Missouri; Christopher Wikle, University of Missouri; Erin Schliep, University of Missouri
2:45 PM	Floor Discussion

300 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
The Appeal of Quantum Computing in Statistical Science — Topic Contributed Papers
Quantum Computing in Statistics and Machine Learning, Section on Statistical Computing, Biometrics Section
Organizer(s): Sergei Leonov, CSL Behring
Chair(s): Valerii Fedorov, ICONplc
10:05 AM	Quantum Approximate Bayesian Computation Dries Sels, Harvard University
10:25 AM	Quantum Amplitude Estimation in the Presence of Noise Eric Brown, Agnostiq Inc.; Weng Kian Tham, University of Toronto; Oktay Goktas, Agnostiq Inc
10:45 AM	Designing Peptides on a Quantum Computer Hans Melo, Menten Al, Inc
11:05 AM	Discussant: Maxwell Henderson, Rigetti
11:25 AM	Discussant: Lingzhou Xue, Penn State University and NISS
11:45 PM	Floor Discussion

301 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Natural Language Processing Applications in Defense and National Security — Topic Contributed Papers
Section on Statistics in Defense and National Security, Text Analysis Interest Group, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
Chair(s): Joseph D Warfield, Johns Hopkins University Applied Physics Laboratory
10:05 AM	Neural Language Processing to Detect, Attribute, Characterize and Defend Against Digital Deception Svitlana Volkova, Pacific Northwest National Laboratory
10:25 AM	A Sliding Information Distance for Change Point Detection in Text or Audio Richard Field, Sandia National Laboratories; Christina Ting, Sandia National Laboratories; Travis Bauer, Sandia National Laboratories
10:45 AM	Few-Shot Learning for Text Applications: Exploring Authorship Identification with Small Data Lauren Phillips, Pacific Northwest National Laboratory; Sarah Reehl, Pacific Northwest National Laboratory; Ana Usenko, Western Washington University
11:05 AM	Classifying Documents Through the Use of Artificial Intelligence Kelly Townsend, Johns Hopkins University, Applied Physics Laboratory; Alex Firpi, Johns Hopkins University Applied Physics Lab
11:25 AM	Discussant: David Marchette, US Naval Surface Warfare Center Dahlgren Division
11:45 AM	Floor Discussion

350	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Bayesian Modeling and Simulation — Contributed Papers
Section on Statistical Computing
Chair(s): Kate Jie Hu, Aclima, Inc
	Efficiency of Globally-Balanced, Gradient-Based Proposal Distributions in Metropolis-Hastings Algorithms Mylène Bédard, Université De Montréal; Gabriel Boisvert-Beaudry, Université de Montréal
	A Robust Bayesian Approach to Function Registration in R^1 Kenny Chowdhary, Sandia National Laboratories; Derek Tucker, Sandia National Lab; Lyndsay Shand, Sandia National Laboratories
	Bayesian Model Diagnostics with Order Restrictions on Cell Probabilities Presentation Xinyu Chen, Worcester Polytechnic Institute
	Large-Scale Simulations for Bayesian and Frequentist Estimation Jacob Dice, Federal Reserve Bank of Kansas City
	A Formal MCMC Diagnostic for Bayesian Additive Regression Trees Brandon Butcher; Brian J. Smith, University of Iowa
	Ultra-Fast Approximate Inference Using Variational Functional Mixed Models Shuning Huo, Virginia Tech; Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center; Hongxiao Zhu, Virginia Tech

351	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Variable Selection and Computationally Intensive Methods — Contributed Papers
Section on Statistical Computing
Chair(s): Matthias Schonlau, University of Waterloo
	Integration of Two RShiny Applications into the Growclusters Package with an Example Implementation Presentation Randall Powers, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics
	Modeling Strategies for Quantile Regression with Zero-Inflated Discrete Responses Xuan Shi, University of Kentucky; Derek Young, University of Kentucky; Carlos Lamarche, University of Kentucky
	A Method for Sparse Monothetic Clustering Paul Harmon, Montana State University; Mark Greenwood, Montana State University
	Penalized Weibull Mixture Cure Models with High-Dimensional Predictors Presentation Han Fu, The Ohio State University; Kellie J Archer, The Ohio State University
	Sum of Kronecker Products Representation for Spatial Covariance Matrices and Its Factorization Presentation Jian Cao, KAUST; Marc Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
	A Scalable Approach to Estimating the Rank of High-Dimensional Data Presentation Wenlan Zang, Yale University School of Public Health; Jen-hwa Chu, Yale University School of Medicine; Michael J Kane, Yale University School of Public Health

387 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
New Advances in Network and Relational Data Analysis — Invited Papers
Section on Statistical Graphics, Section on Statistical Computing, American Sociological Association
Organizer(s): Emma Jingfei Zhang, University of Miami
Chair(s): Emma Jingfei Zhang, University of Miami
1:05 PM	High-Dimensional Random Graph Models with Dependent Edges Michael Schweinberger, Rice University; Jonathan Stewart
1:30 PM	Identifying Latent Space Geometry in Network Models Using Analysis of Curvature Tyler McCormick, University of Washington; Shane Lubold, Department of Statistics, University of Washington
1:55 PM	Community Detection in Latent Space Models Zongming Ma, University of Pennsylvania
2:20 PM	Optimal Bipartite Network Clustering Arash Ali Amini, UCLA; Zhixin Zhou, City University of Hong Kong
2:45 PM	Floor Discussion

392 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Big Tensor Data Analysis — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Anru Zhang, University of Wisconsin-Madison
Chair(s): Anru Zhang, University of Wisconsin-Madison
1:05 PM	Tensor Response Regression in the Presence of Heavy Tails Xin Zhang, Florida State University
1:30 PM	Tensor Models for Large, Complex and High-Dimensional Data Shuheng Zhou, University of California, Riverside
1:55 PM	Co-Clustering Tensors Using Fusion Penalties and CP-Decompositions Eric Chi, North Carolina State University
2:20 PM	Duality of Graphical Models and Tensor Networks Elina Robeva, University of British Columbia
2:45 PM	Floor Discussion

395 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
The Need for Interpretable and Fair Algorithms in Health Policy — Invited Panel
Health Policy Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Laura Hatfield, Harvard Medical School
1:05 PM	The Need for Interpretable and Fair Algorithms in Health Care and Policy Presentation
Panelists:	Marzyeh Ghassemi, University of Toronto Melody Goodman, NYU Sherri Rose, Harvard Medical School Julius Adebayo, MIT
2:40 PM	Floor Discussion

405 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Student Paper Award and Chambers Statistical Software Award — Topic Contributed Papers
Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): Jun Yan, University of Connecticut
Chair(s): Xiaoyue Cheng, University of Nebraska at Omaha
1:05 PM	A Matrix-Free Method for Exploratory Factor Analysis of High-Dimensional Gaussian Data Fan Dai, Iowa State University; Somak Dutta, Iowa State University; Ranjan Maitra, Iowa State University
1:25 PM	Moving-Resting Process with Measurement Error in Animal Movement Modeling Presentation Chaoran Hu, University of Connecticut, Dept of Statistics; Vladimir Pozdnyakov, University of Connecticut, Dept of Statistics; Jun Yan, University of Connecticut; Thomas Meyer, University of Connecticut; Mark Elbroch, Puma Program for Panthera
1:45 PM	A Grammar of Graphics Framework for Generalized Parallel Coordinate Plots Presentation Yawei Ge, Iowa State Univ; Heike Hofmann, Iowa State University
2:05 PM	End-to-End Statistical Learning, with or without Labels Corinne Jones, University of Washington; Vincent Roulet, University of Washington; Zaid Harchaoui, University of Washington
2:25 PM	Symengine: An R Package for Symbolic Manipulation Jialin Ma, Broad Institute of MIT and Harvard
2:45 PM	Floor Discussion

412 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Incorporation of Real-World Evidence in Clinical Trial Designs and Associated Statistical Methodologies — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Biopharmaceutical Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Jeffrey Joseph, Covance; Swarna Reddy, Covance
Chair(s): Swarna Reddy, Covance
1:05 PM	Using Real World Data to Evaluate the Generalizability of Evidence from Randomized Clinical Trials Wei Shen, Eli Lilly and Company; Douglas Faries, Lilly Research Laboratories; Mark Belger, Eli Lilly and Company; Chen-Yen Lin, Eli Lilly and Company
1:25 PM	Real World Evidence Use at CBER: Emerging Issues from Submissions Jennifer Kirk, FDA, Center for Biologics Evaluation and Research (CBER)
1:45 PM	Data Standardization to Facilitate Comparison of Real World Data and Clinical Trial Data Aaron Galaznik, Acorn AI, a Medidata Company
2:05 PM	Analytic Considerations for Constructing Real-World Control Arms Katherine Tan, Flatiron Health; Brian Segal, Flatiron Health; Jonathan Bryan, Flatiron Health; Melissa Curtis, Flatiron Health; Nathan Nussbaum, Flatiron Health; Rebecca Miksad, Flatiron Health; Meghna Samant, Flatiron Health; Somnath Sarkar, Flatiron, Inc.; Aracelis Torres, Flatiron Health
2:25 PM	Leverage Real World Evidence in Drug Development and Regulatory Decision Making Rongmei Zhang, FDA, Center for Drug Evaluation and Research (CDER).
2:45 PM	Floor Discussion

220202	Wed, 8/5/2020, 4:00 PM - 5:00 PM	Virtual
Sections on Statistical Computing and Statistical Graphics Executive Council Meeting — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): John Castelloe, SAS

441 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Novel Statistical and Machine Learning Approaches for Business and Financial Services — Topic Contributed Papers
Section on Statistical Computing, Business and Economic Statistics Section, Section on Nonparametric Statistics
Organizer(s): Wei Qian, University of Delaware
Chair(s): Shanshan Ding, University of Delaware
10:05 AM	A Deep Learning Approach to Industry Classification Xiaohang Zhao, University of Delaware; Xiao Fang, University of Delaware; Jing He, University of Delaware; Olivia Sheng, The University of Utah
10:25 AM	Recent Developments on Multivariate Graph Constrained Models Presentation Brad Price, West Virginia University; Ben Sherwood, University of Kansas
10:45 AM	Biconvex Clustering with Adaptive Feature Selection Jason Xu, Duke University
11:05 AM	An Adaptive Algorithm to Multi-Armed Bandit Problem with High-Dimensional Covariates Wei Qian, University of Delaware; Ching-Kang Ing, National Tsing Hua University; Ji Liu, University of Rochester
11:25 AM	Floor Discussion

445 *	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Complex Hypothesis Testing for Spatial, Functional and Neuroimaging Data — Topic Contributed Papers
ENAR, Biometrics Section, Section on Statistical Computing
Organizer(s): Meng Xu, University of Haifa
Chair(s): Meng Xu, University of Haifa
10:05 AM	Faster Permutation Inference in Brain Imaging Anderson Winkler, National Institutes of Health
10:25 AM	Graphical Monte Carlo and Permutation Tests with Functional Statistics Presentation Mari Myllymäki, Natural Resources Institute Finland (Luke)
10:45 AM	Applications of Global Envelope Test in Various Problems of General Statistics Tomáš Mrkvicka
11:05 AM	Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses Presentation Philip Reiss, University of Haifa; Meng Xu, University of Haifa
11:25 AM	Robust Testing in Generalized Linear Models by Sign-Flipping Score Contributions Presentation Jesse Hemerik, University of Oslo; Jelle Goeman, Leiden University Medical Center; Livio Finos, University of Padua
11:45 AM	Floor Discussion

448 !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
The Contribution of Convex Optimization to New Statistical Concepts — Topic Contributed Papers
Section on Statistical Computing, Section on Statistical Graphics, Section on Statistical Learning and Data Science
Organizer(s): Michael G. Schimek, IMI Statistical Bioinformatics, Medical University of Graz, Austria
Chair(s): Michael G. Schimek, IMI Statistical Bioinformatics, Medical University of Graz, Austria
10:05 AM	Supervised Convex Clustering Tianyi Yao, Rice University; Minjie Wang, Rice University; Genevera Allen, Rice University
10:25 AM	A Computational Framework for Multivariate Convex Regression Rahul Mazumder, Massachusetts Institute of Technology
10:45 AM	TopKSignal: A Convex Optimization Tool for Signal Reconstruction from Multiple Ranked Lists Bastian Pfeifer, IMI Statistical Bioinformatics, Medical University of Graz, Austria; Luca Vitale, Medical University of Graz, Austria; University of Salerno, Salerno, Italy; Michael G. Schimek, IMI Statistical Bioinformatics, Medical University of Graz, Austria
11:05 AM	Novel Results on the Sorted L-One Penalized Estimator Presentation Malgorzata Bogdan, University of Wroclaw
11:25 AM	Discussant: David W. Scott, Rice University, Department of Statistics, Noah Harding Chair
11:45 AM	Floor Discussion

455 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Big Data, Technology Platform and Digital Innovation with Measurable Impact — Topic Contributed Panel
Text Analysis Interest Group, Section on Statistical Learning and Data Science, Quantum Computing in Statistics and Machine Learning, Section on Statistical Computing
Organizer(s): Kelly Zou, Pfizer Inc
Chair(s): Kelly Zou, Pfizer Inc
10:05 AM	Big Data, Technology Platform and Digital Innovation with Measurable Impact
Panelists:	Siddhartha Dalal, Columbia University Mike Henderson, SAS Joseph Imperato, Pfizer Stanislav Kolenikov, Abt Associates Lourenco Miranda, Society Generale Mike Porath, The Mighty May Yamada-Lifton, SAS
11:45 AM	Floor Discussion

494	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Simulation-Based Approaches — Contributed Papers
Section on Statistical Computing
Chair(s): Xinran Qi, Medical College of Wisconsin
	A Two-Stage Nonparametric Quantile Regression Mei Ling Huang, Brock University; Rachel Clemens, Brock University
	On Nonparametric Extreme Quantile Regression Percy Brill, University of Windsor; Andrew Kenig, Brock University; Mei Ling Huang, Brock University
	Simulation-Based Bias-Reduced Robust Estimation in High-Dimensional Settings Yuming Zhang, University of Geneva; Stéphane Guerrier, University of Geneva; Maria-Pia Victoria-Feser, University of Geneva; Samuel Orso, University of Geneva; Hua Shen, University of Calgary
	Test Statistics for Unknown Means of Autocorrelated and Skewed Populations Kyungduk Ko, Boise State University
	Comparing Parameter Estimation Methods in Latent Variable Models for Ordinal Data Amy Nussbaum; Cornelis J. Potgieter, Texas Christian University

542	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Recent Extension from Univariate to Multivariate Analysis for High-Dimensional Data with Complex Environment — Topic Contributed Papers
Section on Statistical Computing, IMS, Korean International Statistical Society
Organizer(s): Jin-Hong Park
Chair(s): Qin Wang, University of Alabama
1:05 PM	New Class of Multiple Time Series Modeling: An Extension from Univariate Dimension Reduction Jin-Hong Park
1:25 PM	Sufficient Dimension Reduction for Matrix and Tensor Time Series Data Seyed Yaser Samadi, Southern Illinois University, Carbondale
1:45 PM	Testing Equality of Means for the Incomplete Paired Data with the IncomPair R Package Desale Habtzghi, DePaul University
2:05 PM	Robust Multivariate Mixture Estimation with Partial L2E Fikriye Kabakci, Recep Tayyip Erdogan University; Umashanger Thayasivam, Rowan University
2:25 PM	Floor Discussion

546	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Foundational Issues in Machine Learning — Topic Contributed Papers
Section on Statistical Learning and Data Science, Uncertainty Quantification in Complex Systems Interest Group, Section on Risk Analysis, Section on Statistical Computing
Organizer(s): Bertrand Clarke, U. Nebraska-Lincoln
Chair(s): Tri Le, Mercer Univ - Atlanta
1:05 PM	Joint Robust Multiple Inference on Large-Scale Multivariate Regression Wen Zhou, Colorado State University; Wenxin Zhou, University of California, San Diego; Youngseok Song, Colorado State University
1:25 PM	BET on Independence Kai Zhang, UNC Chapel Hill
1:45 PM	Sparse Logistic Classification Using Multi-Type Predictors Arkaprava Roy, University of Florida; Bertrand Clarke, U. Nebraska-Lincoln; Subhashis Ghosal, NCSU; Diego Jarquin, UNL
2:05 PM	Floor Discussion

580 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical and Computational Challenges in Nonparametric Learning — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Lingzhou Xue, Penn State University and NISS
Chair(s): Lingzhou Xue, Penn State University and NISS
3:05 PM	A Scale Invariant Approach for Sparse Signal Recovery Yifei Lou, University of Texas At Dallas
3:25 PM	Learning Non-Monotone Optimal Individualized Treatment Regimes Trinetri Ghosh, Pennsylvania State University; Yanyuan Ma, The Pennsylvania State University ; Wensheng Zhu, Northeast Normal University
3:45 PM	Nonparametric Screening Under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data Xu Han, Temple University
4:05 PM	A Screening Algorithm for Cross-Validated Kernel Support Vector Machines Boxiang Wang, University of Iowa; Yi Yang, McGill University
4:25 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association